In this paper, we present a new method to evaluate congestion from traffic flow information based on fuzzy logic. Level of congestion is considered as a continuous variable from free flow to traffic jam. After a simulation, we used adaptive neuro-fuzzy inference system and trained a series of fuzzy logic rules, to estimate the congestion. As a result, general perception of judging congestion is recovered by the fuzzy system with basic traffic parameters.


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    Titel :

    Congestion evaluation from traffic flow information based on fuzzy logic


    Beteiligte:
    Jia Lu, (Autor:in) / Li Cao, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    209513 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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